Results 181 to 190 of about 3,455 (216)
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Applicability of Referent Blocks for TOFD Methods
1997TOFD is to be applied for flaw sizing and characterization whenever it is possible, having essential advantage over conventional UT methods and accuracy much higher than the other UT methods. The primary application starting point is to demonstrate the capability of chosen UT system to be adjusted for TOFD in reproducible way.
Leljak, Irena, Krstelj, Vjera
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AIP Conference Proceedings, 2011
A time domain spectrometer in the range of 0.5–2 THz was used for time of flight (ToF) measurements of THz pulses for imperfection detection in non metallic materials. The measurements were performed in comparison to the established ultra sound pulse echo (PE) and time of flight diffraction (ToFD) technique.
U. Ewert +6 more
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A time domain spectrometer in the range of 0.5–2 THz was used for time of flight (ToF) measurements of THz pulses for imperfection detection in non metallic materials. The measurements were performed in comparison to the established ultra sound pulse echo (PE) and time of flight diffraction (ToFD) technique.
U. Ewert +6 more
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Upotreba TOFD tehnike pri ispitivanju rotora s provrtom
1999U radu je prikazana metoda ispitivanja kojim su autori ispitali turbinski rotor s provrtom suvremenom TOFD tehnikom.
Dukić, Ines, Dukić, Predrag
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Corrected Mode-Converted Wave Method for Detecting Defects in TOFD Dead Zone
Journal of nondestructive evaluation, 2023S. Jin +3 more
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A Numerical Model for Ultrasonic Time-of-Flight Diffraction (TOFD) Testing of Austenitic Welds
Russian journal of nondestructive testing, 2023Seyyed H Hosseini, F. Honarvar
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L51815 The Development of a TOFD Image Reference Collection
1997The Time Of Flight Diffraction (TOFD) Technique is rapidly gaining importance as a reliable NDT technique for weld inspection, capable of both detection and sizing of defects. The acquisition of TOFD inspection data is fast and straightforward; the crucial step in inspection reliability is therefore its interpretation. A reliable interpretation of TOFD
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A Study on Deep Learning-based Defect Analysis Using TOFD Signal on CRDM Nozzle
Journal of the Korean Society for Nondestructive Testing, 2023Soomin Lee +4 more
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The Proceedings of the Materials and Mechanics Conference, 2023
Kaito Yonekura +2 more
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Kaito Yonekura +2 more
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Weld TOFD defect classification method based on multi-scale CNN and cascaded focused attention
Journal of Manufacturing ProcessesDonglin Tang +3 more
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Recognition of Reflector Type Using Neural Network Based on TOFD Echoes
Russian journal of nondestructive testingE. G. Bazulin, L. V. Medvedev
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